0.7.2

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EN 1.0.0-M2.1
0.7.2
Added variational autoencoder Link​
Activation function refactor
Activation functions are now an interface Link​
Configuration now via enumeration, not via String (see examples - Link)
Custom activation functions now supported Link​
New activation functions added: hard sigmoid, randomized leaky rectified linear units (RReLU)
Multiple fixes/improvements for Keras model import
Added P-norm pooling for CNNs (option as part of SubsamplingLayer configuration)
Iteration count persistence: stored/persisted properly in model configuration + fixes to learning rate schedules for Spark network training
LSTM: gate activation function can now be configured (previously: hard-coded to sigmoid)
UI:
Added Chinese translation
Fixes for UI + pretrain layers
Added Java 7 compatible stats collection compatibility Link​
Improvements in front-end for handling NaNs
Added UIServer.stop() method
Fixed score vs. iteration moving average line (with subsampling)
Solved Jaxb/Jackson issue with Spring Boot based applications
RecordReaderDataSetIterator now supports NDArrayWritable for the labels (set regression == true; used for multi-label classification + images, etc)
0.7.1 -> 0.7.2 Transition Notes
Activation functions (built-in): now specified using Activation enumeration, not String (String-based configuration has been deprecated)
0.8.0
0.7.1
Last modified 1mo ago
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